Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / CM 552 - ENVIRONMENTAL ENGINEERING (MASTER'S DEGREE)

Code: CM 552 Course Title: REMOTE SENSING IN ENVIRONMENTAL STUDIES Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department ENVIRONMENTAL ENGINEERING (MASTER'S DEGREE)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer MUHAMMED CÜNEYT BAĞDATLI (mcbagdatli@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Remote sensing applications including fundamentals of remote sensing, radiation theory, sensing systems, data recording, storage and analysis, reflection characteristics of human structure and natural materials, climate, vegetation and land cover. The place of remote sensing in integrated environmental management, resource management with sample applications from the region and the world and its use in conservation of biodiversity

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 PO-1 PO-1 Have an advanced level of knowledge about the recent and best practices in Environmental Engineering, deepen and expand their knowledge on the expert level, conduct and assess the analyses by employing statistical methods
PO-2 PO-2 Plan experiments and carry out original researches in the field by making use of the theoretical and practical knowledge at the expert level that they have obtained in their field
PO-3 PO-3 Make use of the knowledge they have in order to find a solution to problems by analyzing, comparing and questioning them and can carry out original research in the related field on their own
PO-6 PO-6 Are able to make use of computer software as well as communication and information technology required by the field of Environmental Engineering at an advanced level
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Environmental models, applications of remote sensing in environmental studies
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Definition of remote sensing, electromagnetic energy, Satellite properties, image resolutions Method of Narration
2 Multiband sensors, data used in meteorology and ocean applications, sensors and platforms used in landscape planning Method of Narration
3 Image interpretation and analysis, visual interpretation Method of Narration
4 Image processing and analysis: pre-processing, image enhancement, Image classification Method of Narration
5 Change analysis Method of Narration
6 Data integration Method of Narration
7 Examples of using remote sensing in soil salinity determination; Hyperspectral sensors Method of Narration
8 mid-term exam
9 Using remote sensing in change detection; sample application Method of Narration
10 Examples of use of remote sensing in product estimation Method of Narration
11 Remote sensing and hydrological models Method of Narration
12 Remote sensing and carbon cycle studies Method of Narration
13 Remote sensing and water quality monitoring studies Method of Narration
14 Use of remote sensing in environmental studies Method of Narration
15 Environmental studies applications Method of Narration
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Emilio Chuvieco, 2020. Fundamentals of Satellite Remote Sensing An Environmental Approach, Tailor Francis Group
Required Course instruments and materials
Computer, Projection, Remote Sensing software

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 7 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 14 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 14 42
       b) Search in internet/Library 3 14 42
       c) Performance Project 4 2 8
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 4 3 12
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 4 2 8
mid-term exam 1 1 1
Own study for final exam 4 2 8
final exam 2 1 2
0
0
Total work load; 165